(ECCV2022) The official PyTorch implementation of the "AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection".
active 2023-08-16 → 2025-08-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 741 days from 2023-08-16 to 2025-08-25. Pushes: 5 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 16 total, peak 2 in a day. Comments: 35 total, peak 4 in a day. Stars: 29 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Hlings | 32 | 5 | 0 | 20 |
| SumayyaInayat | 7 | 0 | 0 | 5 |
| zhangyu619 | 6 | 0 | 0 | 5 |
| aybukesakaci | 3 | 0 | 0 | 2 |
| 2640888968 | 2 | 0 | 0 | 1 |
| AImind | 1 | 0 | 0 | 0 |
| usssr11 | 1 | 0 | 0 | 0 |
| sara4585 | 1 | 0 | 0 | 0 |
| beautifulmm | 1 | 0 | 0 | 1 |
| renshouyu | 1 | 0 | 0 | 0 |
| zhouzheng1123 | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#20Hlings2024-12-15 09:34Target Sample Size Variation for VIPeD → COCO Benchmark
- Issue#21Hlings2024-12-04 00:24city_and_foggy8_3.yaml没有
- Issue comment#2126408889682024-12-03 07:51city_and_foggy8_3.yaml没有
- Issue comment#21Hlings2024-12-03 07:47city_and_foggy8_3.yaml没有
- Issue#2126408889682024-12-03 07:38city_and_foggy8_3.yaml没有
- Issue comment#20Hlings2024-12-03 06:12Target Sample Size Variation for VIPeD → COCO Benchmark
- Issue#20sara45852024-12-01 22:13Target Sample Size Variation for VIPeD → COCO Benchmark
- Issue#19renshouyu2024-09-18 04:27多层域感知增强部分
- Issue#18AImind2024-03-05 07:36class setting in config file
- Issue#14Hlings2023-12-06 21:27How to select images for the few shot settings in cityscapes_foggy dataset
- Issue comment#16SumayyaInayat2023-11-27 08:25Training Error!
- Issue comment#16aybukesakaci2023-11-25 15:48Training Error!
- Issue comment#16aybukesakaci2023-11-25 15:44Training Error!
- Issue comment#17Hlings2023-11-16 21:32Hand crafted transformation matrix A, in code
- Issue comment#16Hlings2023-11-16 21:28Training Error!
- Issue#17SumayyaInayat2023-11-16 10:17Hand crafted transformation matrix A, in code
- Issue comment#16SumayyaInayat2023-11-16 10:11Training Error!
- Issue#15Hlings2023-11-09 08:09Domain-aware Augmentation
- Issue comment#15Hlings2023-11-07 04:23Domain-aware Augmentation
- Issue comment#15beautifulmm2023-11-07 01:29Domain-aware Augmentation
- Issue comment#16Hlings2023-11-06 23:31Training Error!
- Issue#16aybukesakaci2023-11-06 19:28Training Error!
- Issue comment#15zhangyu6192023-11-01 06:38Domain-aware Augmentation
- Issue comment#15Hlings2023-10-31 18:22Domain-aware Augmentation
- Issue comment#15zhangyu6192023-10-30 07:53Domain-aware Augmentation
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 29 stars here means stars gained during the window, not the repo's star count.